Optimal Control Design for Mechatronics Vehicle Suspension System

Abstract

This thesis focuses on optimizing vehicle suspension systems by comparing Passive, Traditional PID, Fuzzy-PID, and PSO-PID controllers. The study evaluates key metrics such as Tire Deflection, Body Displacement, Body Acceleration, Suspension Travel, and Actuator Force under various road disturbances. Simulation results show that Fuzzy-PID and PSO-PID significantly outperform Passive and Traditional PID controllers by reducing oscillations, stabilizing faster, and enhancing ride comfort. The analysis emphasizes the trade-offs between system performance and energy efficiency. These findings demonstrate the potential for advanced controllers to improve modern vehicle dynamics, ensuring both safety and passenger comfort.